fedx
by VeritasOS
FedX is a framework for transparent access to Linked Data sources through a federation
AI summary
Linked Data Federation
Enables transparent access to Linked Data sources through federation
- stars
- 8
- forks
- 3
- watching
- 8
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Federation endpoint
Provides a simple PHP endpoint for federating user identities with a static dataset
Federated Learning Framework
A framework for federated representation learning with domain awareness in multi-model scenarios.
Social federation library
Library implementing ActivityPub protocol and federating social data
AI collaboration platform
Documentation repository for a community-driven project focused on federated AI technology development and governance.
Feature sharing
An approach to mitigating data heterogeneity in federated learning by sharing partial features of the data.
FedFR framework
An open-source software framework for jointly optimizing face recognition models in federated learning settings.
Federated Learning Framework
Evaluates various methods for federated learning on different models and tasks.
Federated learning framework
An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications.
Federation demo
A GraphQL demo of using the DGS framework with Apollo Federation Server
Federated testing framework
A collection of tools and tests for evaluating the performance of federated machine learning systems
Query language
An abstracted query language for Linked Data on the Web using JavaScript
Discoverer
Tools to discover which Fediverse instances have defederated or silenced yours
Federated Learning Toolkit
Provides tools and APIs for designing, scheduling, and running federated machine learning jobs in a secure and efficient manner.
Federated Learning Framework
An open-source framework for decentralized federated learning with wait-free model communication
Federated Learning framework
An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions fedx.
